Quant jobs / Tower Research Capital

Software Engineer, Trading Systems (C++)

A C++ engineer role building Tower's trading platform, covering market data, signal processing and order routing. You work with researchers and traders so strategies can be tested and run in production.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Build market data and order-routing components
Extend backtesting and simulation frameworks for researchers
Tune latency-sensitive code paths
Add monitoring and performance attribution tools

What they ask for

Required

Algorithms and data structures
Distributed systems
C++
Low-latency or high-performance systems
Interest in markets and systematic trading
Collaboration with researchers

Preferred

Market data or exchange connectivity
Backtesting platforms
Statistics and machine learning
Linux
Python or Rust

Education: Degree in computer science, engineering, maths, physics or a related technical field.
Experience: Seniority not stated; experience building high-performance or low-latency systems expected.
Languages and tools: C++
Python
Rust

How to prepare

Write a lock-free queue or order book in modern C++
Profile and optimise a small market data handler
Read about exchange feed protocols and order routing
Build a simple backtester on top of replayed market data

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Tower Research Capital’s site before applying: requirements, location and pay can change after we check them.

View the posting on Tower Research Capital’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Tower Research Capital and doesn’t handle applications.